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sattari [20]
3 years ago
10

Suppose the number of calls per hour to an answering service follows a poisson process with rate 4.

Mathematics
1 answer:
Fantom [35]3 years ago
3 0
With a mean of λ , the probability mass distribution (pmf) is given by
P(k,\lambda)=\lambda^k*e^(-\lambda)/k!

for &lambda; = 4, and k<2  (i.e. k=0 or 1)

P(k<2, &lambda; )=P(k=1, &lambda; ) + P(k=1, &lambda; )
=4^0*e^(-4)/4!+4^1*e^(-4)/1!
=4^0*e^(-4)/4!+4^1*e^(-4)/1!
=0.01832+0.07326
=0.09158 (to the fifth place of decimal)

Note: Poisson processes have no memory, so 2 calls in first hour has the same probability as 2 calls in any other hour.

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8 0
3 years ago
A sample of 25 undergraduates reported the following dollar amounts of entertainment expenses last year:
marin [14]

Answer:

Range = 85

\sigma = 28.71

Interval = [666.78, 781.62]

Step-by-step explanation:

Given

The data for 25 undergraduates

Solving (a): Range and Standard deviation

The range is:

Range = Highest - Least

From the dataset:

Highest = 772

Least = 687

So:

Range = Highest - Least

Range = 772-687

Range = 85

The standard deviation is:

\sigma = \sqrt{\frac{\sum(x - \bar x)^2}{n}}

First, calculate the mean

\bar x = \frac{769 +691 +............+715}{25}

\bar x = \frac{18105}{25}

\bar x = 724.2

So, the standard deviation is:

\sigma = \sqrt{\frac{(769-724.2)^2 +(691-724.2)^2 +(699-724.2)^2 +(730-724.2)^2 +............+(715-724.2)^2}{25}}

\sigma = \sqrt{\frac{20604}{25}}

\sigma = \sqrt{824.16}

\sigma = 28.71

Solving (b): The interval of the 95% of the observation.

Using the emperical rule, we have:

Interval = [\bar x - 2*\sigma, \bar x+ 2*\sigma]

Interval = [724.2 - 2*28.71, 724.2 + 2*28.71]

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4 0
3 years ago
[(3 to the power of 2) to the power of 2]4
kozerog [31]

Answer:

324

Step-by-step explanation:

(( {3}^{2}  {)}^{2} )4

{3}^{2 \times 2}  \times 4

{3}^{4}  \times 4

81 \times 4

= 324

5 0
3 years ago
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